Article
Psychiatry
Stephan Lechner, Georg Northoff
Summary: Using EEG, our study investigates the temporal precision and regularity of phase coherence in healthy, schizophrenia, and bipolar disorder participants during resting state. By applying a novel methodology called nominal frequency phase stability (NFPS), we found increased irregularities in theta activity over a frontocentral electrode in patients with schizophrenia.
ASIAN JOURNAL OF PSYCHIATRY
(2023)
Article
Psychiatry
Baihan Wang, Haritz Irizar, Johan H. Thygesen, Eirini Zartaloudi, Isabelle Austin-Zimmerman, Anjali Bhat, Jasmine Harju-Seppaenen, Oliver Pain, Nick Bass, Vasiliki Gkofa, Behrooz Z. Alizadeh, Therese van Amelsvoort, Maria J. Arranz, Stephan Bender, Wiepke Cahn, Maria Stella Calafato, Benedicto Crespo-Facorro, Marta Di Forti, Ina Giegling, Lieuwe de Haan, Jeremy Hall, Mei-Hua Hall, Neeltje van Haren, Conrad Iyegbe, Rene S. Kahn, Eugenia Kravariti, Stephen M. Lawrie, Kuang Lin, Jurjen J. Luykx, Ignacio Mata, Colm McDonald, Andrew M. McIntosh, Robin M. Murray, Marco Picchioni, John Powell, Diana P. Prata, Dan Rujescu, Bart P. F. Rutten, Madiha Shaikh, Claudia J. P. Simons, Timothea Toulopoulou, Matthias Weisbrod, Ruud van Winkel, Karoline Kuchenbaecker, Andrew McQuillin, Elvira Bramon
Summary: This study aims to identify biological mechanisms relevant to endophenotypes by partitioning polygenic risk scores into specific gene sets. The results show that a reduced P300 amplitude is associated with a higher schizophrenia polygenic risk score of the forebrain regionalization gene set. This finding suggests that certain genetic variants influence early brain development and increase the risk of schizophrenia.
SCHIZOPHRENIA BULLETIN
(2023)
Article
Engineering, Biomedical
J. Ruiz de Miras, A. J. Ibanez-Molina, M. F. Soriano, S. Iglesias-Parro
Summary: This study evaluated the use of machine learning techniques in diagnosing schizophrenia and proposed a processing pipeline using resting state EEG data. The results showed that complexity measures had a high ability to differentiate between patients and healthy controls, and the proposed pipeline allowed standard machine learning algorithms to efficiently classify schizophrenia patients.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Psychology, Developmental
Yukari Takarae, Anthony Zanesco, Brandon Keehn, Leanne Chukoskie, Ralph-Axel Muller, Jeanne Townsend
Summary: EEG microstates were used to investigate differences between children with Autism Spectrum Development (ASD) and typically developing (TD) participants. The study found that the frequency and global explained variance (GEV) of a specific microstate were lower in the ASD group, while the duration of the same microstate was correlated with ASD-related behaviors. In the TD group, the duration of this microstate was also correlated with participant age and overall alpha power. Another microstate showed higher signal strength and GEV in the ASD group, with different topographical patterns between groups.
DEVELOPMENTAL SCIENCE
(2022)
Article
Genetics & Heredity
Pilar Garces, Sarah Baumeister, Luke Mason, Christopher H. Chatham, Stefan Holiga, Juergen Dukart, Emily J. H. Jones, Tobias Banaschewski, Simon Baron-Cohen, Sven Bolte, Jan K. Buitelaar, Sarah Durston, Bob Oranje, Antonio M. Persico, Christian F. Beckmann, Thomas Bougeron, Flavio Dell'Acqua, Christine Ecker, Carolin Moessnang, Tony Charman, Julian Tillmann, Declan G. M. Murphy, Mark Johnson, Eva Loth, Daniel Brandeis, Joerg F. Hipp
Summary: This study aimed to investigate the differences in resting-state EEG between individuals with autism spectrum disorder (ASD) and neurotypicals (NT), but the results are inconsistent, indicating the need for larger studies to further validate these findings.
Article
Psychiatry
Jiaquan Liang, Wei Huang, Huagui Guo, Weibin Wu, Xiaoling Li, Caixia Xu, Guojun Xie, Wensheng Chen
Summary: By comparing the brain functional activities and cognitive impairment between BD and SC patients, it was found that SC had more severe cognitive impairment than BD. The abnormal activities of the left inferior occipital gyrus and the right superior temporal gyrus may be the core brain regions to distinguish BD and SC, and are closely related to cognitive impairment.
Article
Psychiatry
Takuya Ishida, Yuko Nakamura, Saori C. Tanaka, Yuki Mitsuyama, Satoshi Yokoyama, Hotaka Shinzato, Eri Itai, Go Okada, Yuko Kobayashi, Takahiko Kawashima, Jun Miyata, Yujiro Yoshihara, Hidehiko Takahashi, Susumu Morita, Shintaro Kawakami, Osamu Abe, Naohiro Okada, Akira Kunimatsu, Ayumu Yamashita, Okito Yamashita, Hiroshi Imamizu, Jun Morimoto, Yasumasa Okamoto, Toshiya Murai, Kiyoto Kasai, Mitsuo Kawato, Shinsuke Koike
Summary: This paper investigated the dynamic aspects of aberrant causal connections among large-scale networks in multiple psychiatric disorders using dynamic causal modeling. The results showed that the decreased self-inhibitory connection of the Limbic network was a common aberrant pattern across psychiatric disorders. Additionally, disorder-specific patterns were found for schizophrenia, major depressive disorder, and bipolar disorder. The study suggests that aberrant dynamics among large-scale networks could serve as key biomarkers for transdiagnostic psychiatric disorders.
SCHIZOPHRENIA BULLETIN
(2023)
Article
Clinical Neurology
M. Ravan, A. Noroozi, M. Margarette Sanchez, L. Borden, N. Alam, P. Flor-Henry, G. Hasey
Summary: In this study, the use of electroencephalography (EEG) as an objective biomarker for distinguishing major depressive disorder (MDD) from bipolar disorder (BD) was explored. A machine learning algorithm trained on a large and balanced dataset was used to identify specific connectivity features that could accurately differentiate between the two disorders.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Neurosciences
Juan Ruiz de Miras, Antonio J. Ibanez-Molina, Maria F. Soriano, Sergio Iglesias-Parro
Summary: Fractal dimension index (FDI) can be used to analyze the brain dynamic changes in different functional networks affected by schizophrenia. Patients with schizophrenia have lower FDI values in the auditory network, dorsal attention network, and salience network compared to healthy subjects. FDI is negatively correlated with psychopathological scores.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Psychology, Clinical
Mikaela K. Dimick, Megan A. Hird, Alysha A. Sultan, Rachel H. B. Mitchell, Mark Sinyor, Bradley J. MacIntosh, Benjamin Goldstein
Summary: This study provides preliminary evidence of altered reward-related rsFC in relation to self-harm in adolescents with BD. Between-group differences conveyed a combination of putative risk and resilience connectivity patterns. Future studies are warranted to evaluate changes in rsFC in response to treatment and related changes in self-harm.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Psychiatry
Weizheng Yan, Linzhen Yu, Dandan Liu, Jing Sui, Vince D. Calhoun, Zheng Lin
Summary: In this study, a multi-scale convolutional recurrent neural network (MCRNN) was used to classify psychiatric disorders based on rsEEG data, achieving high accuracy and potentially enhancing our understanding of these disorders and intervention monitoring.
FRONTIERS IN PSYCHIATRY
(2023)
Article
Neurosciences
Yan Zhu, Geng Zhu, Bin Li, Yueqi Yang, Xiaohan Zheng, Qi Xu, Xiaoou Li
Summary: This study investigated the change of brain connectivity in schizophrenics (SCZ) by analyzing the resting-state EEG source functional connections between SCZ and healthy control (HC). Different types of networks were constructed and their topological attributes were extracted. The results showed that the improved multilayer network can effectively distinguish SCZ and other groups, and can be considered as a biological marker for the clinical diagnosis of patients with schizophrenia and other mental disorders.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Physiology
Mengqian Li, Yuan Liu, Yan Liu, Changqin Pu, Ruocheng Yin, Ziqiang Zeng, Libin Deng, Xing Wang
Summary: This study evaluated the diagnostic value of a resting-state EEG-based CNN method for depression and its severity. Results showed that the method accurately identified depression-specific EEG signals and could provide new strategies for early diagnosis and severity identification of depression.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Psychiatry
Wenjing Yan, Lena Palaniyappan, Peter F. Liddle, D. Rangaprakash, Wei Wei, Gopikrishna Deshpande
Summary: This study investigated the shared and distinct neural bases of Schizophrenia and bipolar disorder by examining hemodynamic response function (HRF) variability, which may impact the results of functional connectivity studies. Quantifying HRF abnormalities in specific brain regions revealed associations with disease genes and medication dosage.
SCHIZOPHRENIA BULLETIN
(2022)
Article
Computer Science, Information Systems
Shuting Sun, Huayu Chen, Gang Luo, Chang Yan, Qunxi Dong, Xuexiao Shao, Xiaowei Li, Bin Hu
Summary: This study proposed a new clustering-fusion feature selection method for depression recognition. The HCSNF method yielded optimal classification results in EEG data and showed potential in discovering electrophysiological biomarkers for depression. The study emphasizes the importance of exploring common neuropathological mechanisms in heterogeneous depression diseases.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Psychiatry
Yafit Levin, Rahel Bachem, Dorit Brafman, Menachem Ben-Ezra
Summary: Negative symptoms of schizophrenia have been overlooked, and this study found an association between negative symptoms and the risk of dissociative disorder, independently of depression and anxiety symptoms. It is important to consider both negative symptoms and dissociative symptoms in clinical practice to better understand their interaction.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Review
Psychiatry
Roland Mergl, Sarah M. Quaatz, Vanessa Lemke, Antje-Kathrin Allgaier
Summary: Women who have had miscarriages or stillbirths have an increased risk for depressive symptoms and disorders, with a wide range of prevalence rates. However, depressive symptoms tend to diminish over time.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Hai-Yang Wang, Lin Zhang, Bei-Yan Guan, Shi-Yao Wang, Cui-Hong Zhang, Ming-Fei Ni, Yan-Wei Miao, Bing-Wei Zhang
Summary: This study investigates the association between cognitive reappraisal and panic disorder (PD), and finds that PD patients have weakened functional connectivity between the prefrontal cortex (PFC) and the amygdala, which is associated with the severity of PD symptoms. Additionally, cognitive reappraisal is negatively correlated with PD severity, and the PFC-amygdala functional connectivity plays a mediating role in this association.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Yanqiang Tao, Xinyuan Zou, Qihui Tang, Wenxin Hou, Shujian Wang, Zijuan Ma, Gang Liu, Xiangping Liu
Summary: Depression and anxiety are prevalent mental disorders among adolescents. The study utilized network analysis to examine the symptom dimension of depression and anxiety in different age groups of adolescents. The results indicated that different age groups have different key symptoms and bridging symptoms, highlighting the importance of targeting specific symptoms at different stages of adolescence in treatment to alleviate the comorbidity of anxiety and depression.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Philip J. Batterham, Aliza Werner-Seidler, Bridianne O'Dea, Alison L. Calear, Kate Maston, Andrew Mackinnon, Helen Christensen
Summary: Screening for psychological distress in adolescents is important, and the Distress Questionnaire-5 (DQ5) is a reliable measure for this purpose. The study found that DQ5 had good fit to a unidimensional construct, strong criterion and predictive validity, and sensitivity to change. The brevity and ease of interpretation of DQ5 make it suitable for screening in schools.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Xiaoli Liu, Qianqian Chen, Fang Cheng, Wenhao Zhuang, Wenwu Zhang, Yiping Tang, Dongsheng Zhou
Summary: This study found working memory defects in adolescents with major depressive disorder compared to healthy controls based on mean oxy-hemoglobin changes, which can be useful for distinguishing adolescents with MDD from healthy controls.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Anders Nordahl-Hansen, Hugo Cogo-Moreira, Sareh Panjeh, Daniel S. Quintana
Summary: This article aims to determine empirically-derived effect size thresholds associated with psychotherapy for depressive disorders by calculating the effect size distribution. The findings indicate that the observed effect size thresholds are larger than the suggested guidelines, which has implications for interpreting study effects and planning future research.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Guangli Zhao, Liyong Yu, Peixin Chen, Keli Zhu, Lu Yang, Wenting Lin, Yucai Luo, Zeyang Dou, Hao Xu, Pan Zhang, Tianmin Zhu, Siyi Yu
Summary: This study investigated the neural mechanisms underlying emotional attention bias in patients with CID using ERP and rs-FC approaches. The results revealed abnormalities in attention processing and connectivity in the emotion-cognition networks of CID patients. This study provides a neural basis for understanding attention bias in CID.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Seungyeon Lee, Sora Mun, Jiyeong Lee, Hee-Gyoo Kang
Summary: Major depressive disorder is a prevalent condition worldwide, but the proportion of patients receiving treatment has not increased. Biomarkers related to drug-treatment responses can be used to monitor the effectiveness of medication. Serum protein levels were compared among patients with depression who received medication, those who did not, and a control group. Eight biomarkers were identified, which can be used to monitor the effectiveness of drug treatment.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Alfredo L. Sklar, Fang -Cheng Yeh, Mark Curtis, Dylan Seebold, Brian A. Coffman, Dean F. Salisbury
Summary: This study investigated semantic verbal fluency (SVF) impairments in first-episode psychosis patients within the schizophrenia spectrum. The findings revealed disruptions in both functional and structural connectivity in these patients, as well as an association between enhanced connectivity in the right hemisphere and worse SVF performance and longer disease duration.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)
Article
Psychiatry
Maksymilian Rejek, Blazej Misiak
Summary: This study investigates the association of the exposome score (ES) with psychosis risk in a non-clinical population. The results show that the ES is associated with the extended psychosis phenotype, suggesting its potential to identify individuals who may benefit from further psychosis risk assessment.
JOURNAL OF PSYCHIATRIC RESEARCH
(2024)